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SPSS statistics for dummies
If you work in a field that uses SPSS Statistics, you may have found it overwhelming. The authors of this guide get you up and running and how you how to get the most from your data.
Book
SPSS statistics for dummies
The ultimate beginner's guide to SPSS and statistical analysis SPSS Statistics For Dummies is the fun and friendly guide to mastering SPSS. This book contains everything you need to know to get up and running quickly with this industry-leading software, with clear, helpful guidance on working with both the software and your data. Every chapter of this new edition has been updated with screenshots and steps that align with SPSS 23.0. You'll learn how to set up the software and organize your workflow, then delve deep into analysis to discover the power of SPSS capabilities. You'll discover the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and maximize your data, even if it's been awhile since your last statistics class. SPSS is the leading statistical software for social sciences, marketing, health care, demography, government, education, data mining, and more. This powerful package gives you the tools you need to get more out of your data, and this book is your beginner-friendly guide to getting the most out of the software. Install and configure SPSS and learn the basics of how it works Master the process of getting data into SPSS and manipulating it to produce results See how to display data in dozens of different graphic formats to fit specific needs Make SPSS manufacture the numbers you want and take advantage of the many analysis options Discover ways to customize the SPSS interface and the look of your results, edit graphics and pivot tables, and program SPSS with Command Syntax Statistical analysis is crucial to so many industries, and accuracy and efficiency are crucial. SPSS offers you the capability to deliver, but you still must know how to take utmost advantage of the tools at your fingertips. SPSS Statistics For Dummies shows you how to handle data like a pro, with step-by-step instruction and expert advice.
eBook
SPSS Statistics for data analysis and visualization
Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualisation. This book goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example.
Book
Preparing allied health students for placement: a contrast of learning modalities for foundational skill development
Background
With increasing pressure on placement capacity for allied health students, a need for novel and creative means through which students can develop foundational skills and prepare for practice-based learning opportunities has arisen. This study aimed to explore the experiences of domestic and international first-year students completing pre-clinical preparation programs, contrasting between in-person simulation and online options to contribute to best practice evidence for program design and delivery.
Methods
First-year students from physiotherapy, podiatry and occupational therapy self-selected to either a one-weeklong in-person simulation program or an online preparation for placement program. An integrative mixed-methods approach was employed. Qualitative findings from student focus groups were analyzed by reflexive thematic analysis and complemented by quantitative pre-post questionnaires which were examined for patterns of findings.
Results
There were 53 student participants in the study (simulation n = 29; online n = 24). Self-selecting, international students disproportionately opted for the simulation program while older students disproportionately selected the online program. Students appeared to benefit more from the simulation program than the online program, with alignment of focus group findings to the quantitative questionnaire data. The in-person simulation allowed students to
apply
their learning and practice patient communication. All simulation students reported asubsequent increase in confidence, although this seemed particularly marked for the international students. By contrast, the online program was most effective at developing students’ clinical reasoning and proficiency with documentation. Both programs faced minor challenges to student perceived relevance and skill development.
Conclusion
Both online and in-person simulation preparation programs were perceived to enhance readiness and foundational skills development for novice allied health students, with the practical nature of simulation generating more advantageous findings. This study provides useful information on the benefits and challenges of both types of delivery for foundational skills development and/or clinical preparation of allied health students.
Journal Article
Educational design insights for interprofessional immersive simulation to prepare allied health students for clinical placements
Background
Positive outcomes of simulation programmes to prepare students for placement are widely noted. However, few studies adequately describe considerations for designing allied health placement simulations. There exists a conceptual framework to guide such simulation design, which draws on theory and educational expertise but to date lacks varied stakeholder perspectives. This study aimed to identify implications for the design of allied health placement simulation from participants’ experiences of a simulation-based, interprofessional, novice placement preparation programme.
Methods
Occupational therapy, physiotherapy and podiatry students finishing their first year of study were offered a 1-week intensive interprofessional simulation immediately before their first placement. Focus groups in the following weeks allowed participants to discuss their experiences of the programme, preparation for student placements, and recommendations. These were transcribed and interpreted using reflexive thematic analysis and then abductively related to the conceptual framework.
Results
In total, 22 participants broadly representative of the simulation programme participants contributed to separate focus groups with domestic-enrolled students (
n
= 7), international students (
n
= 5), external practice educators (
n
= 6), and simulated participants (
n
= 4). Inductive reflexive thematic analysis generated six themes: (i) engaging learning environment, (ii) realism and relevance, (iii) student confidence and communication, (iv) international students’ needs, (v) recommendations to facilitate further preparation for placement, and (vi) importance of preparation to engage in simulation.
All participant groups were invested in the programme and highlighted learning opportunities. An immersive and relatable experience with active participation contributed to confidence and communication skill development. International students noted needs pertaining to cultural and language expectations. Other participant recommendations related to the equity of opportunities and specific preparation for placement student-educator interactions. Finally, every participant group noted features of effective preparation for simulation-based education.
Conclusions
Relating these findings abductively to the literature and conceptual frameworks, this study highlights simulation design considerations for learner needs assessment, engagement, realism, psychological safety, and challenge to prepare learners for their first clinical placement. Specific implications for adequately preparing all participant groups, design considerations for the needs of culturally diverse students, and balancing interprofessional and discipline-specific learning are highlighted from a lived experience viewpoint. Future research may engage greater stakeholder co-design in simulation-based education.
Journal Article
SPSS statistics for data analysis and visualization
Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualizationSPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code.IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results.Conduct a more efficient and accurate analysisDisplay complex relationships and create better visualizationsModel complex interactions and master predictive analyticsIntegrate R and Python with SPSS Statistics for more efficient, more powerful codeThese \"hidden tools\" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.
eBook
Iran: A Report on the DACOR Bacon Foundation's 2025 Annual Conference
[...]the burden of economic sanctions tends to fall primarily on the ordinary population rather than on leaders. (Shortly after the conference, Iran announced that water shortages mean it will soon be forced to move the capital to another part of the country.) While some of this may be due to climate change, much of it is because the country tries to grow all its own food as part of its ideology of radical military self-sufficiency. Conference Participants Mr. Alan Eyre, Distinguished Diplomatic Fellow, Middle East Institute Dr. Patricia Karam, Senior Policy Advisor on Iran, Freedom House Amb. Barbara Leaf, Senior International Policy Advisor, Arnold & Porter, Former Assistant Secretary, Bureau of Near Eastern Affairs, U.S. Department of State Dr. Vali Nasr, Majid Kkhadduri Professor of International Affairs and Middle East Studies, John Hopkins University, SAIS, and author, Iran's Grand Strategy (keynote) Dr. Trita Parsi, Executive Vice President, Quincy Institute Ms. Barbara Slavin, Distinguished Fellow, Middle East & North Africa, Stimson Center Mr. Alex Vatanka, Senior Fellow, Middle East Institute Keith McCormick is a retired FSO and one of the organizers of the annual DACOR Conference.
Journal Article
The World After the War: Rebuilding an International Order After the Conflict in Ukraine–A DACOR Conference
Cooperation on climate change may be equally difficult, as a hotter planet could benefit cold Russia in some ways. Despite the danger of returning to the old Cold War division of Europe, which our allies would be loath to support, the conferees heard a sobering warning that NATO may have to admit Ukraine - not only to assure its postwar security, but to restrain it. Conference Participants Catherine Bertini, chair of the board of the Global Alliance for Improved Nutrition and board chair of the Global GOP Diversity Trust, recipient of the 2003 World Food Prize Laureat while serving as leader of the World Food Program, and a former United Nations Under Secretary General Dr. Christopher Ford, visiting fellow at Stanford University's Hoover Institution and a visiting professor in Missouri State University's Graduate School of Defense and Strategie Studies Raj Kumar, president and editor-in-chief of Devex Maria Longi, coordinator of the Department of State's office of the coordinator for US assistance to Europe, Eurasia, and Central Asia Dr. John W. McArthur, senior fellow and director of the Center for Sustainable Development at the Brookings Institution Julien Schopp, vice president of Humanitarian Policy and Practice at Inter Action Ambassador Thomas A. Shannon, Jr., former under secretary of state for political affairs Dr. Angela Stent, senior advisor to the Center for Eurasian, Russian and East European Studies, professor emerita of Government and Foreign Service at Georgetown University, and senior nonresident fellow at the Brookings Institution Dr. Stephen Wertheim, senior fellow in the American Statecraft Program at the Carnegie Endowment for International Peace
Journal Article
Impact of high dose n-3 polyunsaturated fatty acid treatment on measures of microvascular function and vibration perception in non-alcoholic fatty liver disease: results from the randomised WELCOME trial
Aims/hypothesis
The effect of
n
-3 fatty acid treatment on vibration perception thresholds (VPTs) and cutaneous microvascular reactivity is not known. We tested whether: (1) a 15–18 month treatment with high dose (4 g/day) docosahexaenoic (DHA) plus eicosapentaenoic (EPA) acid improved VPT and microvascular reactivity in patients with non-alcoholic fatty liver disease; and (2) there are associations between VPT, microvascular reactivity and metabolic variables.
Methods
In the completed single centre, randomised, parallel group, placebo controlled Wessex Evaluation of fatty Liver and Cardiovascular markers in non-alcoholic fatty liver disease with OMacor thErapy (WELCOME) trial, we tested the effect of DHA+EPA on VPT at 125 Hz (big toe) and the cutaneous hyperaemic response (forearm) to arterial occlusion (ratio of maximum to resting blood flux [MF/RF]). Allocation and dispensing was carried out by an independent research pharmacist; all participants and research team members were blinded to group assignment.
Results
In all, 51 and 49 patients were randomised to placebo and DHA+EPA, respectively (mean age 51.4 years). Of these, 32 had type 2 diabetes. Forty-six (placebo) and 47 (DHA+EPA) patients completed the study; there were no important adverse (or unexpected) effects or side effects. In multivariable-adjusted regression models (intention-to-treat analyses), DHA+EPA treatment was associated with an increase in VPT (β coefficient 1.49 [95% CI 0.04, 2.94],
p
= 0.04). For VPT, the adjusted mean differences (95% CIs) in the placebo and DHA+EPA treatment groups were −0.725 (−1.71, 0.25) and 0.767 (−0.21, 1.75) m/s
2
, respectively. With DHA+EPA treatment, there was no change in MF/RF (β coefficient 0.07 [95% CI −0.56, 0.70],
p
= 0.84), the adjusted mean differences (95% CIs) in the placebo and DHA+EPA treatment groups were −0.549 (−1.03, −0.07) and −0.295 (−0.77, 0.18) respectively. VPT was independently associated with age (β coefficient 0.019 [95% CI 0.010, 0.029],
p
< 0.0001) and MF/RF (β coefficient −0.074 [95% CI −0.132, −0.016],
p
= 0.013), but not with diabetes (
p
= 0.38).
Conclusions/interpretation
High dose
n
-3 fatty acid treatment did not improve measures of microvascular function or vibration perception. Ageing and microvascular reactivity are associated with a measure of peripheral nerve function.
Trial registration
: ClinicalTrials.gov NCT00760513
Funding
: The study was funded by the National Institute for Health Research UK and Diabetes UK.
Journal Article
Higher body fat percentage is associated with enhanced temperature perception in NAFLD: results from the randomised Wessex Evaluation of fatty Liver and Cardiovascular markers in NAFLD with OMacor thErapy trial (WELCOME) trial
Aims/hypothesis
The effect of
n
-3 fatty acid treatment on temperature perception as a sensory nerve function modality is uncertain. In patients with non-alcoholic fatty liver disease (NAFLD) both with and without type 2 diabetes, we: (1) tested whether 15–18 months’ treatment with 4 g/day of docosahexaenoic plus eicosapentaenoic acid (DHA+EPA) improved hot (HPT) and cold (CPT) temperature perception thresholds and (2) explored factors associated with HPT and CPT, in a randomised, double-blind, placebo-controlled trial.
Methods
The effect of treatment (
n
= 44) on HPT, CPT and temperature perception index (TPI: difference between HPT and CPT) was measured at the big toe in 90 individuals without neuropathy (type 2 diabetes;
n
= 30). Participants were randomised 1:1, using sequential numbering, by personnel independent from the trial team. All participants and all members of the research team were blinded to group assignment. Data were collected in the Southampton National Institute for Health Research Biomedical Research Centre. Treatment effects and the independence of associations were testing by regression modelling.
Results
Mean ± SD age was 50.9 ± 10.6 years. In men (
n
= 53) and women (
n
= 37), HPTs (°C) were 46.1 ± 5.1 and 43.1 ± 6.4 (
p
= 0.02), CPTs (°C) were 22.7 ± 3.4 and 24.5 ± 3.6 (
p
= 0.07) and TPIs (°C) were 23.4 ± 7.4 and 18.7 ± 9.5 (
p
= 0.008), respectively. In univariate analyses, total body fat percentage (measured by dual-energy x-ray absorptiometry [DXA]) was associated with HPT (
r
= –0.36
p
= 0.001), CPT (
r
= 0.35
p
= 0.001) and TPI (
r
= 0.39
p
= 0.0001). In multivariable-adjusted regression models, adjusting for age, sex and other potential confounders, only body fat percentage was independently associated with HPT, CPT or TPI (
p
= 0.006,
p
= 0.006 and
p
= 0.002, respectively). DHA+EPA treatment did not modify HPT, CPT or TPI (
p
= 0.93,
p
= 0.44 and
p
= 0.67, respectively). There were no important adverse effects or side effects reported.
Conclusions/interpretation
Higher body fat percentage is associated with enhanced temperature perception. There was no benefit of treatment with high-dose
n
-3 fatty acids on the thresholds to detect hot or cold stimuli.
Trial registration
:
ClinicalTrials.gov NCT00760513
Funding
:
This work was supported by the National Institute for Health Research through the NIHR Southampton Biomedical Research Unit grant and by a Diabetes UK allied health research training fellowship awarded to KMcC (Diabetes UK. BDA 09/0003937).
Journal Article